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1 Ergebnisse
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Causality guided machine learning model on wetland CH4 emis..:
Yuan, Kunxiaojia
;
Zhu, Qing
;
Li, Fa
...
Agricultural and Forest Meteorology. 324 (2022) - p. 109115 , 2022
Link:
https://doi.org/10.1016/j.agrformet.2022.109115
RT Journal T1
Causality guided machine learning model on wetland CH4 emissions across global wetlands
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.agrformet.2022.109115&Exemplar=1&LAN=DE A1 Yuan, Kunxiaojia A1 Zhu, Qing A1 Li, Fa A1 Riley, William J. A1 Torn, Margaret A1 Chu, Housen A1 McNicol, Gavin A1 Chen, Min A1 Knox, Sara A1 Delwiche, Kyle A1 Wu, Huayi A1 Baldocchi, Dennis A1 Ma, Hongxu A1 Desai, Ankur R. A1 Chen, Jiquan A1 Sachs, Torsten A1 Ueyama, Masahito A1 Sonnentag, Oliver A1 Helbig, Manuel A1 Tuittila, Eeva-Stiina A1 Jurasinski, Gerald A1 Koebsch, Franziska A1 Campbell, David A1 Schmid, Hans Peter A1 Lohila, Annalea A1 Goeckede, Mathias A1 Nilsson, Mats B. A1 Friborg, Thomas A1 Jansen, Joachim A1 Zona, Donatella PB Elsevier BV YR 2022 SN 0168-1923 JF Agricultural and Forest Meteorology VO 324 SP 109115 LK http://dx.doi.org/https://doi.org/10.1016/j.agrformet.2022.109115 DO https://doi.org/10.1016/j.agrformet.2022.109115 SF ELIB - SuUB Bremen
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